Literature DB >> 25222513

Digital Clock Drawing: differentiating "thinking" versus "doing" in younger and older adults with depression.

Jamie Cohen1, Dana L Penney2, Randall Davis3, David J Libon4, Rodney A Swenson5, Olusola Ajilore1, Anand Kumar1, Melissa Lamar1.   

Abstract

Psychomotor slowing has been documented in depression. The digital Clock Drawing Test (dCDT) provides: (i) a novel technique to assess both cognitive and motor aspects of psychomotor speed within the same task and (ii) the potential to uncover subtleties of behavior not previously detected with non-digitized modes of data collection. Using digitized pen technology in 106 participants grouped by Age (younger/older) and Affect (euthymic/unmedicated depressed), we recorded cognitive and motor output by capturing how the clock is drawn rather than focusing on the final product. We divided time to completion (TTC) for Command and Copy conditions of the dCDT into metrics of percent of drawing (%Ink) versus non-drawing (%Think) time. We also obtained composite Z-scores of cognition, including attention/information processing (AIP), to explore associations of %Ink and %Think times to cognitive and motor performance. Despite equivalent TTC, %Ink and %Think Command times (Copy n.s.) were significant (AgeXAffect interaction: p=.03)-younger depressed spent a smaller proportion of time drawing relative to thinking compared to the older depressed group. Command %Think time negatively correlated with AIP in the older depressed group (r=-.46; p=.02). Copy %Think time negatively correlated with AIP in the younger depressed (r=-.47; p=.03) and older euthymic groups (r=-.51; p=.01). The dCDT differentiated aspects of psychomotor slowing in depression regardless of age, while dCDT/cognitive associates for younger adults with depression mimicked patterns of older euthymics.

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Year:  2014        PMID: 25222513      PMCID: PMC4310546          DOI: 10.1017/S1355617714000757

Source DB:  PubMed          Journal:  J Int Neuropsychol Soc        ISSN: 1355-6177            Impact factor:   2.892


  35 in total

1.  Internally vs. externally triggered movements in patients with major depression.

Authors:  Felix Hoffstaedter; Jan Sarlon; Christian Grefkes; Simon B Eickhoff
Journal:  Behav Brain Res       Date:  2011-11-28       Impact factor: 3.332

2.  Further analyses of clock drawings among demented and nondemented older subjects.

Authors:  D J Libon; B L Malamut; R Swenson; L P Sands; B S Cloud
Journal:  Arch Clin Neuropsychol       Date:  1996       Impact factor: 2.813

3.  Probability of stroke: a risk profile from the Framingham Study.

Authors:  P A Wolf; R B D'Agostino; A J Belanger; W B Kannel
Journal:  Stroke       Date:  1991-03       Impact factor: 7.914

4.  The influence of depression on processing speed and executive function in nondemented subjects aged 75.

Authors:  Susanne Jungwirth; Sonja Zehetmayer; Margareta Hinterberger; Stephan Kudrnovsky-Moser; Silvia Weissgram; Karl Heinz Tragl; Peter Fischer
Journal:  J Int Neuropsychol Soc       Date:  2011-09       Impact factor: 2.892

Review 5.  Psychomotor symptoms of depression.

Authors:  C Sobin; H A Sackeim
Journal:  Am J Psychiatry       Date:  1997-01       Impact factor: 18.112

6.  Decreased working memory and processing speed mediate cognitive impairment in geriatric depression.

Authors:  R D Nebes; M A Butters; B H Mulsant; B G Pollock; M D Zmuda; P R Houck; C F Reynolds
Journal:  Psychol Med       Date:  2000-05       Impact factor: 7.723

7.  Preliminary analysis of age of illness onset effects on symptom profiles in major depressive disorder.

Authors:  Rebecca A Charlton; Melissa Lamar; Olusola Ajilore; Anand Kumar
Journal:  Int J Geriatr Psychiatry       Date:  2013-02-19       Impact factor: 3.485

8.  Clock drawing errors in dementia: neuropsychological and neuroanatomical considerations.

Authors:  Stephanie Cosentino; Angela Jefferson; Douglas L Chute; Edith Kaplan; David J Libon
Journal:  Cogn Behav Neurol       Date:  2004-06       Impact factor: 1.600

9.  Quantitative assessment of motor abnormalities in untreated patients with major depressive disorder.

Authors:  James B Lohr; Todd May; Michael P Caligiuri
Journal:  J Affect Disord       Date:  2012-09-15       Impact factor: 4.839

10.  Psychomotor retardation in elderly depressed patients.

Authors:  M P B I Pier; W Hulstijn; B G C Sabbe
Journal:  J Affect Disord       Date:  2004-07       Impact factor: 4.839

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  17 in total

1.  Learning Classification Models of Cognitive Conditions from Subtle Behaviors in the Digital Clock Drawing Test.

Authors:  William Souillard-Mandar; Randall Davis; Cynthia Rudin; Rhoda Au; David J Libon; Rodney Swenson; Catherine C Price; Melissa Lamar; Dana L Penney
Journal:  Mach Learn       Date:  2015-10-20       Impact factor: 2.940

2.  Age and Graphomotor Decision Making Assessed with the Digital Clock Drawing Test: The Framingham Heart Study.

Authors:  Ryan J Piers; Kathryn N Devlin; Boting Ning; Yulin Liu; Ben Wasserman; Joseph M Massaro; Melissa Lamar; Catherine C Price; Rod Swenson; Randall Davis; Dana L Penney; Rhoda Au; David J Libon
Journal:  J Alzheimers Dis       Date:  2017       Impact factor: 4.472

Review 3.  Technology and Dementia: The Future is Now.

Authors:  Arlene J Astell; Nicole Bouranis; Jesse Hoey; Allison Lindauer; Alex Mihailidis; Chris Nugent; Julie M Robillard
Journal:  Dement Geriatr Cogn Disord       Date:  2019-06-27       Impact factor: 2.959

4.  Clock Drawing Performance Slows for Older Adults After Total Knee Replacement Surgery.

Authors:  Loren P Hizel; Eric D Warner; Margaret E Wiggins; Jared J Tanner; Hari Parvataneni; Randall Davis; Dana L Penney; David J Libon; Patrick Tighe; Cynthia W Garvan; Catherine C Price
Journal:  Anesth Analg       Date:  2019-07       Impact factor: 5.108

5.  How technology is reshaping cognitive assessment: Lessons from the Framingham Heart Study.

Authors:  Rhoda Au; Ryan J Piers; Sherral Devine
Journal:  Neuropsychology       Date:  2017-11       Impact factor: 3.295

6.  Cognitive and connectome properties detectable through individual differences in graphomotor organization.

Authors:  Melissa Lamar; Olusola Ajilore; Alex Leow; Rebecca Charlton; Jamie Cohen; Johnson GadElkarim; Shaolin Yang; Aifeng Zhang; Randall Davis; Dana Penney; David J Libon; Anand Kumar
Journal:  Neuropsychologia       Date:  2016-03-30       Impact factor: 3.139

7.  Digital Technology Differentiates Graphomotor and Information Processing Speed Patterns of Behavior.

Authors:  Stacy L Andersen; Benjamin Sweigart; Nancy W Glynn; Mary K Wojczynski; Bharat Thyagarajan; Jonas Mengel-From; Stephen Thielke; Thomas T Perls; David J Libon; Rhoda Au; Stephanie Cosentino; Paola Sebastianion
Journal:  J Alzheimers Dis       Date:  2021       Impact factor: 4.472

8.  The oblique effect: The relationship between profiles of visuospatial preference, cognition, and brain connectomics in older adults.

Authors:  Jamie C Peven; Yurong Chen; Lei Guo; Liang Zhan; Elizabeth A Boots; Catherine Dion; David J Libon; Kenneth M Heilman; Melissa Lamar
Journal:  Neuropsychologia       Date:  2019-10-22       Impact factor: 3.139

9.  Cognitive Correlates of Digital Clock Drawing Metrics in Older Adults with and without Mild Cognitive Impairment.

Authors:  Catherine Dion; Franchesca Arias; Shawna Amini; Randall Davis; Dana Penney; David J Libon; Catherine C Price
Journal:  J Alzheimers Dis       Date:  2020       Impact factor: 4.472

10.  Parkinson's Disease Cognitive Phenotypes Show Unique Clock Drawing Features when Measured with Digital Technology.

Authors:  Catherine Dion; Brandon E Frank; Samuel J Crowley; Loren P Hizel; Katie Rodriguez; Jared J Tanner; David J Libon; Catherine C Price
Journal:  J Parkinsons Dis       Date:  2021       Impact factor: 5.568

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